ibllib.io.extractors.training_trials

Functions

Extract trials and wheel data.

Classes

`Choice`	Get the subject's choice in every trial.
`ContrastLR`	Get left and right contrasts from raw datafile.
`ErrorCueTriggerTimes`
`FeedbackTimes`	Get the times the water or error tone was delivered to the animal.
`FeedbackType`	Get the feedback that was delivered to subject.
`GoCueTimes`	Get trigger times of goCue from state machine.
`GoCueTriggerTimes`	Get trigger times of goCue from state machine.
`IncludedTrials`
`Intervals`	Trial start to trial end.
`ItiDuration`	Calculate duration of iti from state timestamps.
`ItiInTimes`
`PhasePosQuiescence`	Extracts stimulus phase, position and quiescence from Bpod data.
`ProbabilityLeft`
`RepNum`	Count the consecutive repeated trials.
`ResponseTimes`	Time (in absolute seconds from session start) when a response was recorded.
`RewardVolume`	Load reward volume delivered for each trial.
`StimFreezeTriggerTimes`
`StimOffTriggerTimes`
`StimOnOffFreezeTimes`	Extracts stim on / off and freeze times from Bpod BNC1 detected fronts
`StimOnTimes_deprecated`
`StimOnTriggerTimes`
`TrainingTrials`
`TrialType`
`TrialsTable`	Extracts the following into a table from Bpod raw data:

class TrainingTrials(session_path=None)[source]

save_names = ('_ibl_trials.repNum.npy', '_ibl_trials.goCueTrigger_times.npy', '_ibl_trials.stimOnTrigger_times.npy', None, None, None, None, '_ibl_trials.table.pqt', None, None, '_ibl_wheel.timestamps.npy', '_ibl_wheel.position.npy', '_ibl_wheelMoves.intervals.npy', '_ibl_wheelMoves.peakAmplitude.npy', None, None, None, None, None)

var_names = ('repNum', 'goCueTrigger_times', 'stimOnTrigger_times', 'itiIn_times', 'stimOffTrigger_times', 'stimFreezeTrigger_times', 'errorCueTrigger_times', 'table', 'stimOff_times', 'stimFreeze_times', 'wheel_timestamps', 'wheel_position', 'wheelMoves_intervals', 'wheelMoves_peakAmplitude', 'peakVelocity_times', 'is_final_movement', 'phase', 'position', 'quiescence')

extract_all(session_path, save=False, bpod_trials=None, settings=None, task_collection='raw_behavior_data', save_path=None)[source]

Extract trials and wheel data.

For task versions >= 5.0.0, outputs wheel data and trials.table dataset (+ some extra datasets)

Parameters:

session_path (str, pathlib.Path) – The path to the session
save (bool) – If true save the data files to ALF
bpod_trials (list of dicts) – The Bpod trial dicts loaded from the _iblrig_taskData.raw dataset
settings (dict) – The Bpod settings loaded from the _iblrig_taskSettings.raw dataset

Return type:

A list of extracted data and a list of file paths if save is True (otherwise None)